{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import tensorflow as tf\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "from datetime import datetime\n",
    "from datetime import timedelta"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>date</th>\n",
       "      <th>Cami Dresses</th>\n",
       "      <th>Shirts</th>\n",
       "      <th>Tote Bags</th>\n",
       "      <th>Sneakers</th>\n",
       "      <th>Crop Tops</th>\n",
       "      <th>Polos</th>\n",
       "      <th>Cross Body Bags</th>\n",
       "      <th>Casual Jackets</th>\n",
       "      <th>Swimwear Bottoms</th>\n",
       "      <th>...</th>\n",
       "      <th>Heels</th>\n",
       "      <th>T-Shirts</th>\n",
       "      <th>Activewear Tops &amp; T-Shirts</th>\n",
       "      <th>Watches &amp; Timepieces</th>\n",
       "      <th>Wallets &amp; Card Holders</th>\n",
       "      <th>Bodycon Dresses</th>\n",
       "      <th>Beauty Tools &amp; Accessories</th>\n",
       "      <th>Skinny Jeans</th>\n",
       "      <th>Beauty Eyes</th>\n",
       "      <th>Beauty Face</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2017-08-04</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2017-08-07</td>\n",
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       "      <td>...</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2017-08-10</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>1.0</td>\n",
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       "      <td>0.0</td>\n",
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       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2017-08-13</td>\n",
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       "      <td>...</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2017-08-16</td>\n",
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       "      <td>0.0</td>\n",
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       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 46 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "         date  Cami Dresses  Shirts  Tote Bags  Sneakers  Crop Tops  Polos  \\\n",
       "0  2017-08-04           0.0     0.0        0.0       0.0        0.0    0.0   \n",
       "1  2017-08-07           0.0     0.0        0.0       0.0        0.0    0.0   \n",
       "2  2017-08-10           0.0     0.0        0.0       0.0        0.0    0.0   \n",
       "3  2017-08-13           0.0     0.0        0.0       0.0        0.0    0.0   \n",
       "4  2017-08-16           0.0     0.0        0.0       0.0        0.0    0.0   \n",
       "\n",
       "   Cross Body Bags  Casual Jackets  Swimwear Bottoms     ...       Heels  \\\n",
       "0              0.0             0.0               0.0     ...         1.0   \n",
       "1              0.0             0.0               0.0     ...         1.0   \n",
       "2              0.0             0.0               0.0     ...         1.0   \n",
       "3              0.0             0.0               0.0     ...         1.0   \n",
       "4              0.0             0.0               0.0     ...         1.0   \n",
       "\n",
       "   T-Shirts  Activewear Tops & T-Shirts  Watches & Timepieces  \\\n",
       "0       0.0                         0.0                   0.0   \n",
       "1       0.0                         0.0                   0.0   \n",
       "2       0.0                         0.0                   0.0   \n",
       "3       0.0                         0.0                   0.0   \n",
       "4       0.0                         0.0                   0.0   \n",
       "\n",
       "   Wallets & Card Holders  Bodycon Dresses  Beauty Tools & Accessories  \\\n",
       "0                     0.0              0.0                         0.0   \n",
       "1                     0.0              0.0                         0.0   \n",
       "2                     0.0              0.0                         0.0   \n",
       "3                     0.0              0.0                         0.0   \n",
       "4                     0.0              0.0                         0.0   \n",
       "\n",
       "   Skinny Jeans  Beauty Eyes  Beauty Face  \n",
       "0           0.0          0.0          0.0  \n",
       "1           0.0          0.0          0.0  \n",
       "2           0.0          0.0          0.0  \n",
       "3           0.0          0.0          0.0  \n",
       "4           0.0          0.0          0.0  \n",
       "\n",
       "[5 rows x 46 columns]"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.read_csv('fashion.csv')\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "date_ori = pd.to_datetime(df.iloc[:, 0]).tolist()\n",
    "df = df.iloc[:,1:]\n",
    "df_copy = df.copy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "num_layers = 1\n",
    "learning_rate = 0.01\n",
    "size_layer = 128\n",
    "timestamp = 5\n",
    "epoch = 500\n",
    "dropout_rate = 0.7\n",
    "future_weeks = 30"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "class Model:\n",
    "    def __init__(self, learning_rate, num_layers, \n",
    "                 size, size_layer, forget_bias = 0.8):\n",
    "        \n",
    "        def lstm_cell(size_layer):\n",
    "            return tf.nn.rnn_cell.LSTMCell(size_layer, state_is_tuple = False)\n",
    "        rnn_cells = tf.nn.rnn_cell.MultiRNNCell([lstm_cell(size_layer) for _ in range(num_layers)], \n",
    "                                                state_is_tuple = False)\n",
    "        self.X = tf.placeholder(tf.float32, (None, None, size))\n",
    "        self.Y = tf.placeholder(tf.float32, (None, size))\n",
    "        drop = tf.contrib.rnn.DropoutWrapper(rnn_cells, output_keep_prob = forget_bias)\n",
    "        self.hidden_layer = tf.placeholder(tf.float32, \n",
    "                                           (None, num_layers * 2 * size_layer))\n",
    "        self.outputs, self.last_state = tf.nn.dynamic_rnn(drop, self.X, \n",
    "                                                          initial_state = self.hidden_layer, \n",
    "                                                          dtype = tf.float32)\n",
    "        self.logits = tf.layers.dense(self.outputs[-1],size,\n",
    "                       kernel_initializer=tf.glorot_uniform_initializer())\n",
    "        self.cost = tf.reduce_mean(tf.nn.sigmoid_cross_entropy_with_logits(labels=self.Y,logits=self.logits))\n",
    "        self.optimizer = tf.train.AdamOptimizer(learning_rate).minimize(self.cost)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "WARNING:tensorflow:<tensorflow.python.ops.rnn_cell_impl.LSTMCell object at 0x7feb0aebbfd0>: Using a concatenated state is slower and will soon be deprecated.  Use state_is_tuple=True.\n"
     ]
    }
   ],
   "source": [
    "tf.reset_default_graph()\n",
    "modelnn = Model(learning_rate, num_layers, df.shape[1], size_layer, dropout_rate)\n",
    "sess = tf.InteractiveSession()\n",
    "sess.run(tf.global_variables_initializer())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 100 avg loss: 0.032256167317772734\n",
      "epoch: 200 avg loss: 0.01611048075348412\n",
      "epoch: 300 avg loss: 0.010450065255883663\n",
      "epoch: 400 avg loss: 0.010217295865004417\n",
      "epoch: 500 avg loss: 0.009890825056635518\n"
     ]
    }
   ],
   "source": [
    "for i in range(epoch):\n",
    "    init_value = np.zeros((1, num_layers * 2 * size_layer))\n",
    "    total_loss = 0\n",
    "    for k in range(0, (df.shape[0] // timestamp) * timestamp, timestamp):\n",
    "        batch_x = np.expand_dims(df.iloc[k: k + timestamp].values, axis = 0)\n",
    "        batch_y = df.iloc[k + 1: k + timestamp + 1].values\n",
    "        last_state, _, loss = sess.run([modelnn.last_state, \n",
    "                                        modelnn.optimizer, \n",
    "                                        modelnn.cost], feed_dict={modelnn.X: batch_x, \n",
    "                                                                  modelnn.Y: batch_y, \n",
    "                                                                  modelnn.hidden_layer: init_value})\n",
    "        init_value = last_state\n",
    "        total_loss += loss\n",
    "    total_loss /= (df.shape[0] // timestamp)\n",
    "    if (i + 1) % 100 == 0:\n",
    "        print('epoch:', i + 1, 'avg loss:', total_loss)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "output_predict = np.zeros((df.shape[0] + future_weeks, df.shape[1]))\n",
    "output_predict[0, :] = df.iloc[0] \n",
    "upper_b = (df.shape[0] // timestamp) * timestamp\n",
    "init_value = np.zeros((1, num_layers * 2 * size_layer))\n",
    "for k in range(0, (df.shape[0] // timestamp) * timestamp, timestamp):\n",
    "    out_logits, last_state = sess.run([tf.nn.sigmoid(modelnn.logits), modelnn.last_state], \n",
    "                                      feed_dict = {modelnn.X:np.expand_dims(df.iloc[k: k + timestamp], axis = 0),\n",
    "                                     modelnn.hidden_layer: init_value})\n",
    "    init_value = last_state\n",
    "    output_predict[k + 1: k + timestamp + 1] = out_logits\n",
    "    \n",
    "out_logits, last_state = sess.run([tf.nn.sigmoid(modelnn.logits), modelnn.last_state], \n",
    "                                  feed_dict = {modelnn.X:np.expand_dims(df.iloc[upper_b:], axis = 0),\n",
    "                                     modelnn.hidden_layer: init_value})\n",
    "init_value = last_state\n",
    "output_predict[upper_b + 1: df.shape[0] + 1] = out_logits\n",
    "df.loc[df.shape[0]] = out_logits[-1]\n",
    "date_ori.append(date_ori[-1]+timedelta(days=3))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "for i in range(future_weeks - 1):\n",
    "    out_logits, last_state = sess.run([tf.nn.sigmoid(modelnn.logits), modelnn.last_state], feed_dict = \n",
    "                                      {modelnn.X:np.expand_dims(df.iloc[-timestamp:], axis = 0),\n",
    "                                     modelnn.hidden_layer: init_value})\n",
    "    init_value = last_state\n",
    "    output_predict[df.shape[0], :] = out_logits[-1, :]\n",
    "    df.loc[df.shape[0]] = out_logits[-1, :]\n",
    "    date_ori.append(date_ori[-1]+timedelta(days=3))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "date_ori=pd.Series(date_ori).dt.strftime(date_format='%Y-%m-%d').tolist()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([35, 21, 34, 10,  3, 33])"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "index = (-np.round(df.values).sum(axis=0)).argsort()[4:10]\n",
    "index"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "sns.set()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7feaa86c4550>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize = (15,15))\n",
    "for no, i in enumerate(index):\n",
    "    plt.subplot(6,1,no+1)\n",
    "    label = list(df)[i]\n",
    "    plt.plot(np.around(df.iloc[:,i]),label='predicted ' + label,alpha=0.7)\n",
    "    plt.plot(np.around(df_copy.iloc[:,i]),label='real ' + label,alpha=0.7)\n",
    "    plt.legend()\n",
    "    x_range_future = np.arange(df.shape[0])\n",
    "    plt.xticks(x_range_future[::20], date_ori[::20])\n",
    "plt.show()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [],
   "source": [
    "def df_shift(df,lag=0,rejected_columns = []):\n",
    "    df = df.copy()\n",
    "    if not lag:\n",
    "        return df\n",
    "    cols ={}\n",
    "    for i in range(1,lag+1):\n",
    "        for x in list(df.columns):\n",
    "            if x not in rejected_columns:\n",
    "                if not x in cols:\n",
    "                    cols[x] = ['{}_{}'.format(x, i)]\n",
    "                else:\n",
    "                    cols[x].append('{}_{}'.format(x, i))\n",
    "    for k,v in cols.items():\n",
    "        columns = v\n",
    "        dfn = pd.DataFrame(data=None, columns=columns, index=df.index)    \n",
    "        i = 1\n",
    "        for c in columns:\n",
    "            dfn[c] = df[k].shift(periods=i)\n",
    "            i+=1\n",
    "        df = pd.concat([df, dfn], axis=1, join_axes=[df.index])\n",
    "    return df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(179, 135)"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_new = df_shift(df, 2)\n",
    "df_new.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Cami Dresses</th>\n",
       "      <th>Shirts</th>\n",
       "      <th>Tote Bags</th>\n",
       "      <th>Sneakers</th>\n",
       "      <th>Crop Tops</th>\n",
       "      <th>Polos</th>\n",
       "      <th>Cross Body Bags</th>\n",
       "      <th>Casual Jackets</th>\n",
       "      <th>Swimwear Bottoms</th>\n",
       "      <th>Scarves</th>\n",
       "      <th>...</th>\n",
       "      <th>Scarves_1</th>\n",
       "      <th>Scarves_2</th>\n",
       "      <th>Beauty Eyes_1</th>\n",
       "      <th>Beauty Eyes_2</th>\n",
       "      <th>Swimwear Tops_1</th>\n",
       "      <th>Swimwear Tops_2</th>\n",
       "      <th>Bracelets_1</th>\n",
       "      <th>Bracelets_2</th>\n",
       "      <th>Wallets &amp; Card Holders_1</th>\n",
       "      <th>Wallets &amp; Card Holders_2</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
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       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
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       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
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       "      <td>0.0</td>\n",
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       "      <td>0.0</td>\n",
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       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 135 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   Cami Dresses  Shirts  Tote Bags  Sneakers  Crop Tops  Polos  \\\n",
       "0           0.0     0.0        0.0       0.0        0.0    0.0   \n",
       "1           0.0     0.0        0.0       0.0        0.0    0.0   \n",
       "2           0.0     0.0        0.0       0.0        0.0    0.0   \n",
       "3           0.0     0.0        0.0       0.0        0.0    0.0   \n",
       "4           0.0     0.0        0.0       0.0        0.0    0.0   \n",
       "\n",
       "   Cross Body Bags  Casual Jackets  Swimwear Bottoms  Scarves  \\\n",
       "0              0.0             0.0               0.0      0.0   \n",
       "1              0.0             0.0               0.0      0.0   \n",
       "2              0.0             0.0               0.0      0.0   \n",
       "3              0.0             0.0               0.0      0.0   \n",
       "4              0.0             0.0               0.0      0.0   \n",
       "\n",
       "             ...             Scarves_1  Scarves_2  Beauty Eyes_1  \\\n",
       "0            ...                   NaN        NaN            NaN   \n",
       "1            ...                   0.0        NaN            0.0   \n",
       "2            ...                   0.0        0.0            0.0   \n",
       "3            ...                   0.0        0.0            0.0   \n",
       "4            ...                   0.0        0.0            0.0   \n",
       "\n",
       "   Beauty Eyes_2  Swimwear Tops_1  Swimwear Tops_2  Bracelets_1  Bracelets_2  \\\n",
       "0            NaN              NaN              NaN          NaN          NaN   \n",
       "1            NaN              0.0              NaN          0.0          NaN   \n",
       "2            0.0              0.0              0.0          0.0          0.0   \n",
       "3            0.0              0.0              0.0          0.0          0.0   \n",
       "4            0.0              0.0              0.0          0.0          0.0   \n",
       "\n",
       "   Wallets & Card Holders_1  Wallets & Card Holders_2  \n",
       "0                       NaN                       NaN  \n",
       "1                       0.0                       NaN  \n",
       "2                       0.0                       0.0  \n",
       "3                       0.0                       0.0  \n",
       "4                       0.0                       0.0  \n",
       "\n",
       "[5 rows x 135 columns]"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_new.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_new = df_new.dropna()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fea8ff87cc0>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "colormap = plt.cm.RdBu\n",
    "plt.figure(figsize=(15,10))\n",
    "plt.title('2 days correlation', y=1.05, size=16)\n",
    "\n",
    "mask = np.zeros_like(df_new.corr())\n",
    "mask[np.triu_indices_from(mask)] = True\n",
    "\n",
    "sns.heatmap(df_new.corr(), mask=mask, linewidths=0.1,vmax=1.0, \n",
    "            square=True, cmap=colormap, linecolor='white', annot=False)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.5.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
